EIT Signal Quality and Reconstruction Dataset and Figures with code

# EIT Signal Quality and Reconstruction Dataset This dataset accompanies the submission to *Inverse Problems* titled: "Performance Benchmarking of Five FEM Based Electrical Impedance Tomography (EIT) Image Reconstruction Techniques Using Signal Quality Metrics and Real Hardware Data" Published on 03 February 2026. Digital Object Identifier (DOI): DOI 10.1088/1361-6420/ae3798. Journal online version link: Performance Comparison Study of Electrical Impedance Tomography (EIT) Image Reconstruction Techniques Using Signal Quality Metrics and Real Hardware Data - IOPscience --- ## Contents | File Name | Description ||------------------------|-------------|| `PSNR.csv` | Peak Signal-to-Noise Ratio values across reconstruction methods and signal settings || `SSIM.csv` | Structural Similarity Index values across conditions || `CNR.csv` | Contrast-to-Noise Ratio across reconstruction methods || `RMSE.csv` | Root Mean Square Error of reconstructed images || `Coherence.csv` | Coherence between injected and received signals || `STER.csv` | Spectral Energy Ratio per condition || `THD.csv` | Total Harmonic Distortion (%) in each condition || `PhaseShift.csv` | Average phase shift (degrees) from original signals || `SNR_Comparison.csv` | Raw and filtered SNR and gain across four signal setups | --- ## Format Each `.csv` file is organized with: - **Rows** representing reconstruction methods: `BackProjection`, `GaussNewton`, `Tikhonov`, `GREIT`, `EIDORS` - **Columns** representing signal conditions: `10kHz_1Vpp`, `10kHz_5Vpp`, `50kHz_1Vpp`, `50kHz_5Vpp` --- ## License This dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. You may share, adapt, or reuse with proper attribution. --- ## Contact For questions or data clarification or any other assistance, please contact: **MD MAINUDDIN SAGAR** University of Massachusetts Dartmouth GitHub: [https://github.com/Sagar-Massachusetts](https://github.com/Sagar-Massachusetts)